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Point Matching using Localized Gradient Similarity

1. Tachnique for Matching Similarity Using the Chromaticity Space

1. Tachnique for Matching Similarity Using the Chromaticity Space

... the point of the pure white. Theoretically, there is a possibility of using the chromaticity space of another color ...a similarity measure and makes the presence of one chromaticity plane the main ...

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Statistical inference for ordinary differential equations using gradient matching

Statistical inference for ordinary differential equations using gradient matching

... (producing point estimates), cannot immediately produce confidence intervals for the param- eters and so quantifying the uncertainty in the parameter estimates will be more ...

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Corner Based Image Alignment using Pyramid Structure with Gradient Vector Similarity

Corner Based Image Alignment using Pyramid Structure with Gradient Vector Similarity

... The similarity measure is then determined by the differences of gradient vector between the corners obtained in the template image and the inspection image, ...template matching outperforms the ...

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Using gradient matching to accelerate parameter inference in nonlinear ordinary differential equations

Using gradient matching to accelerate parameter inference in nonlinear ordinary differential equations

... Interpolant Gradient Matching Having discussed the problems that ODE parameter inference presents to the MCMC in- ference paradigm, it now seems justified to propose a new method for parameter inference ...

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Recognizing samyuktha hand gestures of bharatanatyam using skeleton matching and gradient orientation

Recognizing samyuktha hand gestures of bharatanatyam using skeleton matching and gradient orientation

... Copyright, IJCR, 2013, Academic Journals. All rights reserved. INTRODUCTION Digital image processing is the use of computer algorithms to perform image processing on digital images. A digital image is a numeric ...

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Approximate parameter inference in systems biology using gradient matching: a comparative evaluation

Approximate parameter inference in systems biology using gradient matching: a comparative evaluation

... parameter using splines-based smooth functional tempering (C&S) [5]: By examining ...when using real ...important point to note is when the dataset size was reduced, the cubic spline performed ...

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EXPERIMENTAL STUDY OF FINGERPRINT VERIFICATION USING MINUTIAE POINT MATCHING

EXPERIMENTAL STUDY OF FINGERPRINT VERIFICATION USING MINUTIAE POINT MATCHING

... identification using minutia point matching.Experiments were conducted using DB4 fingerprint database comprising four datasets of images of different sources and ...

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janardhan: Semantic Textual Similarity using Universal Networking Language graph matching

janardhan: Semantic Textual Similarity using Universal Networking Language graph matching

... 2 Universal Networking Language The Universal Networking Language gives a graph- ical representation of the semantics of a text in the form of hypergraphs. The representation is at the semantic level which allows mapping ...

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Fingerprint s Core Point Detection using Gradient Field Mask

Fingerprint s Core Point Detection using Gradient Field Mask

... core point but they possess high curvature loop like structure, we can take tip of such structure as registration point (reference) for correlation based ...

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Title: Improving Latent Fingerprint Matching Performance by Orientation Field Estimation using Localized Dictionaries

Title: Improving Latent Fingerprint Matching Performance by Orientation Field Estimation using Localized Dictionaries

... Regularization Based on Surface Fitting Some researchers view orientation field regularization as a surface fitting problem and use general functions, such as, polynomials and Fourier series, to represent fingerprint ...

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Parameter Inference in Differential Equation Models of

Biopathways using Time Warped Gradient Matching

Parameter Inference in Differential Equation Models of Biopathways using Time Warped Gradient Matching

... dynamical systems, one with a limit cycle, the other with a stable equilibrium point. Our work proposes a first proof of concept that time warping is useful to improve parameter inference in ODE models. We are ...

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Affine invariant point-set matching using convex hull bisection

Affine invariant point-set matching using convex hull bisection

... Extended centroids of an image were also extracted to recon- struct convex hull and build triangles [13]. Zhang et al. [14] applied extended centroid of a grayscale image and calculated affine invariant features ...

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Estimating Parameters of Partial Differential Equations with Gradient Matching

Estimating Parameters of Partial Differential Equations with Gradient Matching

... smoothed using Gaussian process ...estimation using noise-free simulated data can give results which are very close to the true values of parameters we choose in ...the point estimates are still ...

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Using similarity metrics for matching lifelong learners

Using similarity metrics for matching lifelong learners

... string similarity measures could be used to encode and compare the timelines of lifelong ...different similarity definitions on a predefined database of synthetic ...

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Email Thread Reassembly Using Similarity Matching

Email Thread Reassembly Using Similarity Matching

... Recently, some work on threads has been done by heuristics. For example, [11] and [13] identified threads by linking messages with identical nontrivial subject lines (after removal of any sequence of “re:”, “fw:”, and ...

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Application of Localized Similarity for Web Documents

Application of Localized Similarity for Web Documents

... [email protected] Abstract In this paper we present a novel approach to automatic creation of anchor texts for hyper- links in a document pointing to similar doc- uments. Methods used in this approach rank parts ...

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Gradient Energy Matching for Distributed Asynchronous Gradient Descent

Gradient Energy Matching for Distributed Asynchronous Gradient Descent

... 4.3 ImageNet We train AlexNet [12] on the ImageNet data [19] with an effective batch size of B = 1024 and b = B/n. GEM hyper-parameters are set to their default values, as specified in Algorithm 1. No learning rate ...

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19.1 The gradient of a curve at a point, and the gradient function

19.1 The gradient of a curve at a point, and the gradient function

... To be able to find the gradient of a curve of a polynomial function by calculating its derivative. To apply the rules for differentiating polynomials to solving problems. In the previous chapter the rate of change ...

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Image Forgery Detection Using Feature Point Matching

Image Forgery Detection Using Feature Point Matching

... feature matching algorithm separately ...key point-based ...by matching blocks of image pixels or transform ...key point based forgery detection methods were proposed, where image key points ...

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